Let Us Create An Open Source Kivy Android App(CodeRED) [Introduction and...

• CodeRED

  1 8 0.0 Python

  CodeRED is an app that can help people to send an instant emergency and distress calls or text messages to a large number of people even 112( or 911 the U.S.A). Also, you can set the option of social media messages like Facebook, Twitter, etc.

This video is going to be a series, where we are going to learn a lot more about how kivy works and at the same time build an app that can help people out during an emergency. SOURCE CODE @: https://github.com/kengoon/CodeRED Topics Covered: 1) kivy ID referencing: In this Topic, we are going to learn how we can reference or talk to any kivy widget from anywhere within our code. 2) Kivy Screen Referencing: We will learn how to switch to any screen or even reference the screen, no matter the location it is within our code 3) Class To Class Reference: I have been asked a lot of questions based on how one can reference a python(kivy widgets) class from another class, This section will explain more about that 4) Running Kivy App In Background: You might have discovered that sometimes your android kivy app runs slow or you need to run your app in the background even if it is closed. Here, Android Service helps us to run some specific tasks in the background to reduce the workload of the main kivy thread 5) Modifying Our Android Notification to have Extra features like Buttons, Banner Images and TextField 6) Using Lottie Animation For The Splash Screen 7) How To Load Kivy File, In other to minimize startup black screen time 8) Compilation, Debugging and Error Fixing 9) Integrating Firebase 10) ETC As we continue to develop our app we will be adding other missing topics. I believe this video series will help most kivy devs on their track to better software development. Please do not forget to subscribe

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project